Configuration Parsing Warning:In adapter_config.json: "peft.base_model_name_or_path" must be a string
Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
F5-TTS v1 LoRA — IMDA NSC FEMALE_01
LoRA adapter for F5-TTS v1 Base fine-tuned on IMDA National Speech Corpus FEMALE_01 (Singaporean English).
Usage
from f5_tts.api import F5TTS
tts = F5TTS(
model="F5TTS_v1_Base",
lora_path="instavar/f5-tts-v1-lora-female01",
device="cuda",
)
wav, sr, spec = tts.infer(
ref_file="reference.wav",
ref_text="",
gen_text="Text to synthesize.",
file_wave="output.wav",
)
Or via CLI:
f5-tts_infer-cli --lora_path instavar/f5-tts-v1-lora-female01 -r ref.wav -t "Text to synthesize."
Requires the instavar/f5-tts-lora-finetuning fork.
Training details
| Parameter | Value |
|---|---|
| Base model | F5TTS_v1_Base (model_1250000.safetensors, SHA256 prefix 670900fd) |
| Dataset | IMDA NSC FEMALE_01 (10,850 train samples, pinyin tokenizer) |
| LoRA rank | 16 |
| LoRA alpha | 16 |
| Target modules | to_q, to_k, to_v, to_out.0 |
| Trainable params | 2,883,584 / 339,980,388 (0.85%) |
| Learning rate | 1e-4 |
| Epochs | 1 (~1,250 updates) |
| Hardware | NVIDIA RTX 3090 Ti (24 GB) |
| EMA | Disabled (standard for diffusion LoRA) |
Adapter details
- Framework: PEFT 0.18.1
- Adapter size: 12 MB (vs ~2.7 GB for full fine-tuning checkpoint)
- Merge strategy:
merge_and_unload()at inference for zero overhead - F5-TTS version: 1.1.18 (instavar fork, commit
dc1b18a)
License
MIT (same as upstream F5-TTS code). The base model pre-trained weights are CC-BY-NC due to the Emilia training dataset.
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Model tree for instavar/f5-tts-v1-lora-female01
Base model
SWivid/F5-TTS